Triple

T38661179
Position Surface form Disambiguated ID Type / Status
Subject Aśvajit E940337 entity
Predicate nameInChinese P4878 FINISHED
Object 阿說示
阿說示是佛教典籍中記載的釋迦牟尼佛弟子之一、早期聲聞聖者阿說示（Aśvajit）的中文譯名。
 E2280652 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 阿說示 | Statement: [Aśvajit, nameInChinese, 阿說示]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 阿說示
Triple: [Aśvajit, nameInChinese, 阿說示]
Generated description
阿說示是佛教典籍中記載的釋迦牟尼佛弟子之一、早期聲聞聖者阿說示（Aśvajit）的中文譯名。

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdbed4a188190ab656f262022fe68 completed May 7, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd65308481909487b4b8ca280704 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fed2530c8190b57d2bc1cc2e75c9 completed June 29, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff5fae24819089ccf1dff50e867c completed June 29, 2026, 5:15 a.m.
Created at: May 3, 2026, 4:33 p.m.